Project Overview

PREDICT-oRx is one of the most impactful projects I contributed to, where I integrated machine learning models into microservices to process biomarkers and generate predictive age and risk scores. These scores were then utilised within a web application that I developed.

My role involved developing web applications that interfaced seamlessly with these microservices, enabling users to upload data and visualise results through an intuitive, user-friendly interface. This application was not just a technical challenge but also a collaborative effort, as I worked closely with a team of PhD-level machine learning engineers to refine the models and ensure the final product was robust and reliable.

The final product was showcased as a Minimum Viable Product (MVP) to various collaborators and partners, highlighting its capabilities and potential impact. I also designed and developed a website to present the purpose and features of the MVP effectively.

Technical Contributions

• Integrated machine learning models into microservices to process biomarkers, generating predictive age and risk scores.
• Developed web applications that interfaced seamlessly with these microservices, enabling users to upload data and visualize results through an intuitive interface.
• Collaborated closely with PhD-level ML engineers to refine the models and contributed to the creation of a robust MVP, which was showcased to collaborators and partners.
• Designed and developed a website that highlighted the purpose and capabilities of the MVP.

Technology Stack

Visual Preview